Sep 2023 – Dec 2023 · 3 mos · Gurugram, Haryana, India

• Designed and implemented cloud architectures, increasing scalability by 50% and system reliability by 40%, supporting business growth and ensuring high availability.
• Conducted architecture reviews based on AWS Well-Architected Framework, identifying optimisation opportunities that led to a 30% reduction in infrastructure costs.
• Enhanced security measures, ensuring 100% compliance with industry standards through IAM, encryption, and compliance frameworks implementation.
• Implemented Big Data solutions such as EMR, AWS Managed Kafka, and NoSQL Cassandra (Scylla DB), resulting in a 25% enhancement in data processing efficiency and a 20% improvement in data analytics capabilities, empowering data-driven decision-making.

May 2021 – Aug 2023 · 2 yrs 3 mos · Gurugram, Haryana, India

• Spearheaded DevOps initiatives, reducing deployment time by 30% and increasing release frequency by 25%, facilitating faster time-to-market for new features.
• Implemented containerisation and CI/CD pipelines, resulting in a 40% decrease in deployment errors and a 50% increase in deployment frequency, enhancing development efficiency.
• Optimised cloud resources, achieving a 20% cost reduction through auto-scaling strategies and cloud resource analysis.
• Mentored junior team members, fostering a culture of innovation and continuous improvement within the DevOps team.

Aug 2019 – May 2021 · 1 yr 9 mos · Gurugram, Haryana, India · On-site

• Crafted Ansible Jinja templates from Helm Charts, integrated into Ansible collections for deployments via Azure DevOps on Azure AKS and Rancher, boosting 50% increase in release frequency for rapid iterations.
• Implemented Apache Kafka, Apache Solr, and AVRO Schema for Big Data Streaming, improving data throughput by 40% and reducing data latency by 30%, crucial for real-time vehicle testing scenarios such as NCAP and GSP testing.
• Empowered the successful European launch of the Autonomous Driving Assistance System (ADAS) in vehicles by architecting its pipeline and overseeing microservices deployments on Azure AKS.
• Orchestrated the setup of Rancher Kubernetes platform for managing 500+ predefined test plans, facilitating Real Road Testing, Vehicle in loop-testing, Hardware in loop-testing, and Software in loop-testing, resulting in a 70% improvement in testing efficiency and a 40% reduction in testing cycle time.

Sep 2018 – Aug 2019 · 11 mos · Noida Area, India · On-site

• Implemented CI/CD pipelines for the Biogen project, resulting in a 50% reduction in deployment errors and a 30% increase in deployment frequency using Bitbucket, Bamboo-JIRA, and AWS-CodeDeploy (Blue-Green Deployment).
• Led the migration of microservices to the cloud using Docker on AWS ECS and AWS EKS, resulting in an annual cost savings of $35,000 by optimizing resource allocation and scaling.
• Utilised Python boto3 scripting for automation tasks, achieving a 70% reduction in manual effort and enabling seamless integration with AWS services for inventory management and reporting.
• AWS CloudFormation and Terraform IaaC to automate manual infrastructure creation and provisioning, reducing setup time by 60% and minimising configuration drift.

Jan 2016 – Aug 2018 · 2 yrs 7 mos · Gurgaon, Haryana, India · On-site

• Enhanced system reliability by implementing Linux system monitoring with NAGIOS, resulting in a downtime reduction of 25 hours per month.
• Implemented Docker containers to optimise resource utilisation, resulting in a cost reduction of $10,000 annually.
• Confirguration management of servers for updates and package deployments through Ansible playbooks, increasing operational efficiency by 40%.
• Implemented Nginx Web Server and HA Proxy configurations for reverse proxy and load balancing, alongside added Jenkins CI/CD pipeline implementations.

Jun 2014 – Jul 2015 · 1 yr 1 mo · Gurgaon, Haryana, India · On-site

• Orchestrated the day-to-day management of Linux nodes, overseeing the administration and support of 200 systems.
• Identified and resolved performance bottlenecks, resulting in 35% improvement in system efficiency and responsiveness.
• Optimised resource utilisation and storage efficiency through the implementation of file system enhancements, including mounting, partitioning, and logical volume management (LVM).